HR: 0800h
AN: IN51B-0404    [Abstracts]
TI: ES3: Automatic capture and reconstruction of science product lineage and metadata
AU: * Frew, J
EM: frew@bren.ucsb.edu
AF: University of California, Santa Barbara, Bren School University of California, Santa Barbara, CA 93106-5131, United States
AU: Slaughter, P
EM: peter@bren.ucsb.edu
AF: University of California, Santa Barbara, Bren School University of California, Santa Barbara, CA 93106-5131, United States
AU: Painter, T
AF: University of Utah, University of Utah Department of Geography 260 S. Central Campus Dr. Rm. 270, Salt Lake City, UT 84112-9155, United States
AB: The MODSCAG algorithm derives per-pixel fractional snow-covered area and snow grain size from MODIS imagery. The current implementation of MODSCAG is a combination of UNIX shell scripts, compiled C programs, and interpreted IDL programs. MODSCAG is under active development, and tracing its output products back to specific parameter settings or software versions is crucial for debugging and quality control. To this end, we are running MODSCAG on the Earth System Science Server (ES3), a suite of software that automatically captures run- time information about user processes and stores this information in an XML database, which can be queried to retrieve a specific MODSCAG output's complete lineage graph and any associated metadata. This poster/presentation will illustrate how this lineage/metadata capture operates without any modifications to either the host operating system or the science application code.
UR: http://eil.bren.ucsb.edu/agu2007
DE: 0520 Data analysis: algorithms and implementation
DE: 0525 Data management
DE: 0736 Snow (1827, 1863)
DE: 0740 Snowmelt
DE: 0758 Remote sensing
SC: Earth and Space Science Informatics [IN]
MN: 2007 Fall Meeting